Ocens

Combines two variables <code>a, b</code> into a 2-column matrix, preserving <code>label</code> and <code>units</code> attributes and converting character or factor variables into integers and added a <code>levels</code> attribute. This is used to combine censoring points with regular points. If both variables are already factors, their levels are distinctly combined starting with the levels for <code>a</code>. Character variables are converted to factors.

Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model design
attributes in the fit.  'rms' is a collection of functions that
assist with and streamline modeling.  It also contains functions for
binary and ordinal logistic regression models, ordinal models for
continuous Y with a variety of distribution families, and the Buckley-James
multiple regression model for right-censored responses, and implements
penalized maximum likelihood estimation for logistic and ordinary
linear models.  'rms' works with almost any regression model, but it
was especially written to work with binary or ordinal regression
models, Cox regression, accelerated failure time models,
ordinary linear models,	the Buckley-James model, generalized least
squares for serially or spatially correlated observations, generalized
linear models, and quantile regression.

Frank Harrell Jr

Regression Modeling Strategies

Ocens function

<dl><dt>a</dt>
<dd>variable for first column</dd>
<dt>b</dt>
<dd>variable for second column</dd></dl>

Arguments

Author

Censored Ordinal Variable — Ocens

<dl>

<dt>a</dt>
<dd>variable for first column</dd>


<dt>b</dt>
<dd>variable for second column</dd>

</dl>

Ocens: Censored Ordinal Variable

Description

Usage

Value

Arguments

Author

Details